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1. Introduction 1.1 Background and Context 1.2 Research Objectives 1.3 Structure of the Study 2. Understanding Oncology Care 2.1 Overview of Oncology 2.2 Current Treatment Protocols 2.3 Challenges in Personalized Care 3. Artificial Intelligence in Healthcare 3.1 Definition and Scope 3.2 AI Technologies in Use 3.3 Historical Perspective 4. Personalized Treatment Plans 4.1 Concepts and Importance 4.2 Factors Influencing Personalization 4.3 Patient-Centric Approaches 5. AI-Driven Personalization in Oncology 5.1 AI Applications in Cancer Treatment 5.2 Case Studies and Examples 5.3 Technology Integration Strategies 6. Benefits of AI in Oncology Care 6.1 Enhancing Treatment Accuracy 6.2 Reducing Time and Costs 6.3 Improving Patient Outcomes 7. Challenges and Ethical Considerations 7.1 Data Privacy Concerns 7.2 Bias and Inaccuracy in AI Models 7.3 Ethical Implications in AI Use 8. Future Directions and Conclusion 8.1 Emerging Trends in AI and Oncology 8.2 Recommendations for Future Research 8.3 Concluding Remarks
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